MobBIO: A multimodal database captured with a portable handheld device

• Author(s): Sequeira, Ana ; Monteiro, João C. ; Rebelo, Ana ; Oliveira, Hélder P.
• Date: 2019
• Persistent ID: Sequeira, A., Monteiro, J. C., Rebelo, A., & Oliveira, H. P. (2014). MobBIO: A multimodal database captured with a portable handheld device. In International Conference on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal, 5-8 Jan.2014 (pp. 133-137). Disponível no Repositório UPT, http://hdl.handle.net/11328/2498
• Origin: Repositório da Universidade Portucalense
• Subject(s): Biometrics; Multimodal; Database; Portable Handheld Devices
• Document Type: Conference object
• Language: English

Description

The authors author would like to thank Fundação para a Ciência e Tecnologia (FCT) - Portugal the financial support for the PhD grants with references SFRH/BD/74263/2010 and SFRH/BD/87392/2012

Biometrics represents a return to a natural way of identification: testing someone by what (s)he is, instead of relying on something (s)he owns or knows seems likely to be the way forward. Biometric systems that include multiple sources of information are known as multimodal. Such systems are generally regarded as an alternative to fight a variety of problems all unimodal systems stumble upon. One of the main challenges found in the development of biometric recognition systems is the shortage of publicly available databases acquired under real unconstrained working conditions. Motivated by such need the MobBIO database was created using an Asus EeePad Transformer tablet, with mobile biometric systems in mind. The proposed database is composed by three modalities: iris, face and voice.